Master of Science in Business Analytics
Develop quantitative analysis, statistical modeling, and consultancy skills for business data challenges.
Best for:Best for quantitative-minded graduates in business, economics, or STEM fields seeking expertise in data analytics and business strategy.
Overview
The Master of Science in Business Analytics at the University of Limerick is tailored for graduates looking to strengthen their quantitative and strategic consultancy capabilities. The curriculum trains students to tackle complex business problems utilizing large datasets, statistical methods, optimization techniques, and predictive modeling. Alongside technical proficiency, the program emphasizes communication, leadership, and project management to ensure graduates can effectively implement data-driven strategies. Applicants with diverse backgrounds can also be considered through recognition of prior learning policies.
What you'll do
- Engage with complex business problems using large datasets and statistical software
- Apply optimization techniques and predictive models to generate business insights
- Develop leadership and project management skills for effective strategy implementation
- Communicate analytical findings clearly to technical and non-technical stakeholders
- Participate in coursework and modules focusing on quantitative analysis and consultancy
Requirements
Degree required: Bachelor’s degree (NFQ Level 8) with at least a second-class honours, grade 2 (2:2)
Degree offered: Master of Science (Level 9 NFQ)
Language: English proficiency as required by university admissions policy
Instruction: English
- Foundational knowledge in quantitative methods, mathematics, or statistics
- Academic background in business, finance, economics, engineering, computer science, or a related discipline
- Aptitude for analyzing large data sets and applying statistical techniques
- Strong communication skills for presenting analytical findings
- Applicants must hold an NFQ Level 8 bachelor's degree or equivalent, or qualify via the Recognition of Prior Learning (RPL) policy
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Duration
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- Prerequisites
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- Tuition
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How to apply
Applications are submitted online through the university's graduate studies application portal. Candidates must review the entry qualifications and provide required academic transcripts and supporting documentation.
- CV
- BSc transcripts
Contact
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